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Paper Abstract and Keywords
Presentation 2007-01-26 13:20
Approximate ML Detection by Using Monte Carlo Method in MIMO Radio Communication Systems
Jooin Woo, Hiroshi Suzuki, Kazuhiko Fukawa (Tokyo Tech) SIP2006-168 RCS2006-226
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a signal detection algorithm which approximately performs the maximum likelihood detection (MLD) by employing linear detection and a Monte Carlo method for multiple-input multiple-output (MIMO) communication systems. Although MLD is the optimal signal detection for the MIMO system，MLD requires an enormously large amount of computational complexity that exponentially increases with both the number of data streams and that of constellations．On the other hand，the linear detection of which complexity is almost proportional to the square of the number of data streams cannot achieve sufficient bit error rate (BER) performance owing to the noise enhancement．
Thus，this paper proposes a detection algorithm that can achieve sufficient BER while requiring much less complexity than MLD. The proposed scheme finds signal candidates by properly moving an output of the linear detection in the direction of the noise enhancement and performing hard decision of the results, and then selects the candidate having the largest likelihood function. Computer simulations with $4\times4$ MIMO and 16QAM demonstrate that the proposed method requires 17 dB less $E_b/N_0$ than the minimum mean squared error (MMSE) and 5 dB more $E_b/N_0$ than MLD in order to achieve BER of $10^{-4}$， while reducing the complexity to about 0.36\% of the MLD's one.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / MLD / linear detection / MMSE / likelihood / noise enhancement / complexity /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 480, RCS2006-226, pp. 57-62, Jan. 2007.
Paper # RCS2006-226 
Date of Issue 2007-01-19 (SIP, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIP2006-168 RCS2006-226

Conference Information
Committee RCS SIP  
Conference Date 2007-01-24 - 2007-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) NICT Okinawa 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2007-01-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Approximate ML Detection by Using Monte Carlo Method in MIMO Radio Communication Systems 
Sub Title (in English)  
Keyword(1) MIMO  
Keyword(2) MLD  
Keyword(3) linear detection  
Keyword(4) MMSE  
Keyword(5) likelihood  
Keyword(6) noise enhancement  
Keyword(7) complexity  
Keyword(8)  
1st Author's Name Jooin Woo  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Hiroshi Suzuki  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kazuhiko Fukawa  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2007-01-26 13:20:00 
Presentation Time 20 minutes 
Registration for RCS 
Paper # SIP2006-168, RCS2006-226 
Volume (vol) vol.106 
Number (no) no.477(SIP), no.480(RCS) 
Page pp.57-62 
#Pages 6 
Date of Issue 2007-01-19 (SIP, RCS) 

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